xinxuyale/HDCI: High Dimensional Confidence Interval Based on Lasso and Bootstrap

Fits regression models on high dimensional data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.

Getting started

Package details

AuthorHanzhong Liu, Xin Xu, Jingyi Jessica Li
MaintainerXin Xu <[email protected]>
LicenseGNU General Public License version 2
Version1.0-2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("xinxuyale/HDCI")
xinxuyale/HDCI documentation built on May 23, 2019, 9:51 a.m.